Machine learning (ML) is a type of artificial intelligence (AI) that lets software get better at predicting what will happen without being told to do so. Machine learning algorithms use data from the past as input to make predictions about what the future will be like.
What is Machine Learning?
Different Types of Machine Leaning??
Why LearnMachine Learning
When you learn about machine learning, you open up a world of possibilities for creating cutting-edge applications in fields like cybersecurity, image recognition, medicine, face recognition and move humanity forward.
Let's Now See Steps to Learn Machine Learning 😎
Learn programming language Python
Learn basic Statistics and Maths
Learn to analyse DataSets
Learn Linear Algebra
Good understanding of linear algebra is essential for understanding and working with many ML algorithms, especially deep learning algorithms
In this step, you need to learn using Scikit-Learn python library to train and test Machine Learning Models
Learn to deploy Machine Learning Model
So if you have trained a Machine Learning Model but now to make it available for people to use, you need to either use Docker, Kubernetes or Pytorch
Machine Learning is a quite difficult field to succeed in, because you really need to learn a lot of stuff even to get started. But do keep in mind that its worth it because salaries for ML Engineers is way higher as compared to regular software engineering jobs.